If you are looking for an answer to the question What is Artificial Intelligence? and you only have a minute, then here's the definition the Association for the Advancement of Artificial Intelligence offers on its home page: "the scientific understanding of the mechanisms underlying thought and intelligent behavior and their embodiment in machines."
However, if you are fortunate enough to have more than a minute, then please get ready to embark upon an exciting journey exploring AI (but beware, it could last a lifetime) …
In the global race to build artificial intelligence, it was a missed opportunity. Jeff Hawkins, a Silicon Valley veteran who spent the last decade exploring the mysteries of the human brain, arranged a meeting with DeepMind, the world's leading AI lab. Scientists at DeepMind, which is owned by Google's parent company, Alphabet, want to build machines that can do anything the brain can do. Hawkins runs a little company with one goal: figure out how the brain works and then reverse engineer it. The meeting, which had been set for April at DeepMind's offices in London, never happened.
Paulhamus, a branch supervisor at Johns Hopkins University Applied Physics Laboratory said, told Hill.TV that AI is "very, very far away" from approximating human intelligence, adding that the public should not fear a robot takeover in the near future. "It's not overnight -- it's slowly having this technology creep in to your life," he told Hill.TV's "Rising" in an interview that aired Friday. Paulhamus said he expects the rise of such technology to continue to evolve with in-home products such as Amazon's virtual assistant, Alexa, and to develop as society moves toward "more internet of things." "[People will] start to need a mobile robot to follow you around and it'll slowly start to integrate," he added. But, Paulhamus said, the robotics industry faces a number of limitations when it comes to AI.
Artificial Intelligence will deliver revolutionary impact on how enterprises make decisions today. In the last few years alone, we have rapidly moved beyond heuristics-based decision-making to analytics-driven decision-support. In the VUCA phase, businesses globally are now pivoting to an AI-led, algorithm-augmented style of decision-making. With huge computing power and ever-increasing data storage and analytics prowess, we are entering a new paradigm, a probable and interesting scenario wherein, Artificial Intelligence will play a huge role in augmenting human intelligence and enabling decision-making with complete autonomy. The big hope is that this new paradigm will not only reduce human biases and errors that are common with heuristic decisions, but also reduce the time involved in making these critical decisions.
AI and related technologies are most effective when used as a way to unleash creativity and increase autonomy in workers. The study was done by researchers at Goldsmiths, University of London, and commissioned by robotic process automation vendor Automation Anywhere. Released in September, the study looked at the role and impact of automation in the workplace, focusing on two "augmentation" technologies: Among the findings: Not only do enterprises that invest in augmented human intelligence promote a "more human workplace," but workplaces with cultures that foster learning also do technology augmentation more successfully. "The key [to success] was to invest in technology and people," said Mihir Shukla, CEO of Automation Anywhere. "Technology investment is straightforward," he added.
"Computers are better than humans at things humans were never very good at," is how Matt Calkins, the chief executive of cloud software provider Appian, sums up artificial intelligence and machine learning. The remark drew appreciative laughter from a small group of journalists gathered to chat with Calkins over dinner in Manhattan a week ago. Calkins bears a vague resemblance to actor Hugo Weaving, who played "Agent Smith" in the Matrix trilogy. Coupled with a dry wit and a certain measured cadence, he has a way of delivering insightful and amusing quips that sneak up on you. Calkins's point at that moment in the dinner was not an idle, remark, however.
Should we be afraid of artificial intelligence? For me, this is a simple question with an even simpler, two letter answer: no. But not everyone agrees – many people, including the late physicist Stephen Hawking, have raised concerns that the rise of powerful AI systems could spell the end for humanity. Clearly, your view on whether AI will take over the world will depend on whether you think it can develop intelligent behavior surpassing that of humans – something referred to as "super intelligence". So let's take a look at how likely this is, and why there is much concern about the future of AI.
On Jan. 15, FBI agents arrested Jerry Chun Shing Lee, a former CIA case officer, and charged him with unlawful retention of classified information. Lee is the sixth person charged by the Justice Department in the past two years for espionage-related offenses suspected to have been conducted on behalf of the People's Republic of China. By comparison, prior to 2015, only one or two people on average per year were arrested for such offenses. The increased frequency of arrests--coinciding with a public March 2016 announcement by the Chinese government that intelligence efforts would be more heavily resourced--may indicate that China is scaling up traditional human intelligence efforts against the United States government. Lee's arrest seemingly stemmed from FBI agents' discovery of classified information in his notebooks in 2012.
The sun formed 4.5 billion years ago, but it's got around 6 billion years more before its fuel runs out. It will then flare up, engulfing the inner planets. And the expanding universe will continue--perhaps forever--destined to become ever colder, ever emptier. To quote Woody Allen, eternity is very long, especially toward the end. Any creatures witnessing the sun's demise won't be human--they'll be as different from us as we are from a bug.
We're empowered to engage in creative thought. Because we have much more insight, a lot of guesswork is eliminated. Instead of merely telling customers what they should do, a sales rep is able to explain why it's in the customer's best interest to do it. We're given more insight to creatively explore which sales script will resonate most strongly with each customer and which marketing messaging will drive the greatest levels of engagement. Perhaps most important, we're able to deeply personalize sales and marketing content, an endeavor that only 31% of marketing professionals believe they're effective at (despite 74% believing it has a strong impact on advancing customer relationships).
Often, AI is rolled up into one large, homogeneous, conceptual ball of smart, mysterious, powerful, scary technology. In reality, AI is a range of disciplines starting from the mundane and simplistic to the immensely deep and convoluted brain-like networks. Certainly, our current state of AI encompasses some manner of cleverness. There are types of cleverness, but there are also classes of intelligence that we can categorize much like we compartmentalize the types of human intelligence. Today, it is generally recognized that human intelligence can be categorized into different classes: musical, linguistic, logical-mathematical, etc.